Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
GPT-5.4 nano
61
Qwen3.5-122B-A10B
65
Verified leaderboard positions: GPT-5.4 nano unranked · Qwen3.5-122B-A10B #8
Pick Qwen3.5-122B-A10B if you want the stronger benchmark profile. GPT-5.4 nano only becomes the better choice if you need the larger 400K context window.
Agentic
+13.2 difference
Knowledge
+28.4 difference
Multimodal
+11.1 difference
GPT-5.4 nano
Qwen3.5-122B-A10B
$0.2 / $1.25
$0 / $0
191 t/s
N/A
3.64s
N/A
400K
262K
Pick Qwen3.5-122B-A10B if you want the stronger benchmark profile. GPT-5.4 nano only becomes the better choice if you need the larger 400K context window.
Qwen3.5-122B-A10B is clearly ahead on the provisional aggregate, 65 to 61. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Qwen3.5-122B-A10B's sharpest advantage is in knowledge, where it averages 81.6 against 53.2. The single biggest benchmark swing on the page is OSWorld-Verified, 39% to 58%.
GPT-5.4 nano is also the more expensive model on tokens at $0.20 input / $1.25 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Qwen3.5-122B-A10B. That is roughly Infinityx on output cost alone. GPT-5.4 nano gives you the larger context window at 400K, compared with 262K for Qwen3.5-122B-A10B.
Qwen3.5-122B-A10B is ahead on BenchLM's provisional leaderboard, 65 to 61. The biggest single separator in this matchup is OSWorld-Verified, where the scores are 39% and 58%.
Qwen3.5-122B-A10B has the edge for knowledge tasks in this comparison, averaging 81.6 versus 53.2. Inside this category, GPQA is the benchmark that creates the most daylight between them.
Qwen3.5-122B-A10B has the edge for agentic tasks in this comparison, averaging 56.1 versus 42.9. Inside this category, OSWorld-Verified is the benchmark that creates the most daylight between them.
Qwen3.5-122B-A10B has the edge for multimodal and grounded tasks in this comparison, averaging 77.2 versus 66.1. GPT-5.4 nano stays close enough that the answer can still flip depending on your workload.
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